Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation.
Jiazheng Jing|Yinan Zhang|Xin Zhou|Zhiqi Shen
| Anthology ID: | DBLP:conf/cikm/JingZ0023 |
|---|---|
| Volume: | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1014-1024 |
| URL: | https://doi.org/10.1145/3583780.3614801 |
| DOI: | https://doi.org/10.1145/3583780.3614801 |
| DBLP: | conf/cikm/JingZ0023 |
| BibTeX: |
@inproceedings{jing-2023-capturing,
author = {Jiazheng Jing and
Yinan Zhang and
Xin Zhou and
Zhiqi Shen},
editor = {Ingo Frommholz and
Frank Hopfgartner and
Mark Lee and
Michael P. Oakes and
Mounia Lalmas-Roelleke and
Min Zhang and
Rodrygo L. T. Santos},
title = {{Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {1014--1024},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3614801},
doi = {https://doi.org/10.1145/3583780.3614801}
}